What is your conclusion (interpretation) from frequency distribution tables and graphs for the students?

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What is your conclusion (interpretation) from frequency distribution tables and graphs for the
students? 

The height of the students can be represented in a Line chart. (since they are discrete
variables).
The height of the students can be represented in Histogram. (since they are discrete
variables).
Procedure for constructing a Line chart in Excel
Procedure for constructing a Histogram in Excel
Step 1: Enter the data in Excel.
Step 1: Enter the data in Excel.
Step 2: Select the data the entire data.
Step 2: Select the data the entire data.
Step 3: Select Insert.
Step 3: Select Insert.
Step 4: in the chart section Select Line chart with markers.
Step 4: in the chart section Select Histogram.
The Line chart of students' height is given below.
The histogram of students' height is given below.
Height
Chart Title
200
180
I Height
18
160
16
140
14
120
12
100
10
80
60
6
40
20
1 2345 678 9 1011 12 13 14 15 16 17 18 19 20 21 22 23 24 25 25 27 28 29 30
[151, 160.1]
(160.1, 169.2]
(169.2, 178.31
(178.3, 187.4]
Transcribed Image Text:The height of the students can be represented in a Line chart. (since they are discrete variables). The height of the students can be represented in Histogram. (since they are discrete variables). Procedure for constructing a Line chart in Excel Procedure for constructing a Histogram in Excel Step 1: Enter the data in Excel. Step 1: Enter the data in Excel. Step 2: Select the data the entire data. Step 2: Select the data the entire data. Step 3: Select Insert. Step 3: Select Insert. Step 4: in the chart section Select Line chart with markers. Step 4: in the chart section Select Histogram. The Line chart of students' height is given below. The histogram of students' height is given below. Height Chart Title 200 180 I Height 18 160 16 140 14 120 12 100 10 80 60 6 40 20 1 2345 678 9 1011 12 13 14 15 16 17 18 19 20 21 22 23 24 25 25 27 28 29 30 [151, 160.1] (160.1, 169.2] (169.2, 178.31 (178.3, 187.4]
The cumulative frequency is,
Class interval
Frequency
Cumulative Frequency
150 - 156
6
6
157 -163
14
6+ 14 = 20
164 -170
6
6+ 14+6 = 26
171-177
2
6+ 14 +6+2 = 28
178 -184
2
6+ 14 +6+2+2 = 30
Step 2
The relative frequency is,
Clas frequency
Relative frequency =
Total Imgency
The relative frequencies are,
Relative Frequency
을%3D0.2
* = 0.4667
$ = 0.2
* = 0. 0667
Class interval
Frequency
150 - 156
6
157 -163
14
164 -170
6
171 -177
2
178 - 184
2
= 0.0667
The percent relative frequency is,
Class interval
Relative Frequency
Relative Frequency
150 - 156
0.2
0.2 x 100% = 20%
157-163
0.4667
0.4667 x 100% = 46. 67%
164 -170
0.2
0.2 x 100% = 20%
171-177
0.0667
0.0667 x 100% = 6.67%
178 -184
0.0667
0.0667 x 100% = 6.67%
Transcribed Image Text:The cumulative frequency is, Class interval Frequency Cumulative Frequency 150 - 156 6 6 157 -163 14 6+ 14 = 20 164 -170 6 6+ 14+6 = 26 171-177 2 6+ 14 +6+2 = 28 178 -184 2 6+ 14 +6+2+2 = 30 Step 2 The relative frequency is, Clas frequency Relative frequency = Total Imgency The relative frequencies are, Relative Frequency 을%3D0.2 * = 0.4667 $ = 0.2 * = 0. 0667 Class interval Frequency 150 - 156 6 157 -163 14 164 -170 6 171 -177 2 178 - 184 2 = 0.0667 The percent relative frequency is, Class interval Relative Frequency Relative Frequency 150 - 156 0.2 0.2 x 100% = 20% 157-163 0.4667 0.4667 x 100% = 46. 67% 164 -170 0.2 0.2 x 100% = 20% 171-177 0.0667 0.0667 x 100% = 6.67% 178 -184 0.0667 0.0667 x 100% = 6.67%
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